Projects

Learning and Leveraging Features in Flow – Like Environments to Improve Situational Awareness

Learning and Leveraging Features in Flow – Like Environments to Improve Situational Awareness

This paper studies how global dynamics and knowledge of high-level features can inform decision-making for robots in flow-like environments. Specifically, we investigate how coherent sets, an environmental feature found in these environments, inform robot awareness within these scenarios. Video Here

M. Ani Hsieh

Deputy Director, GRASP Lab; Graduate Program Chair, ROBO; Associate Professor, MEAM


Tahiya Salam

PhD, ESE


Victoria Edwards

PhD, MEAM


Learning and Leveraging Features in Flow – Like Environments to Improve Situational Awareness